A complete texture image retrieval system includes two techniques: texture feature extraction and similarity measurement. Specifically, similarity measurement is a key problem for texture image retrieval study. In this paper, we present an effective similarity measurement formula. The MIT vision texture database, the Brodatz texture database, and the Outex texture database were used to verify t...

Image analogies is a framework for processing images by example. Image analogies uses training data A and A′ in order to learn a filter that can be applied to an unfiltered target image B to produce an analogous image B′. This means that B′ relates to B the same way A′ relates to A. The framework is general and can be applied to many different applications. Typical applications for image analog...

(b) (c) (d) (e) (f) (g) (h) Figure 6. Edge, texture, and shape features: (a) edges extracted from image 5a; (b) edges extracted from image 5b; (c) simple texture measure applied to image 5b; (d) thresholded texture measure yields a blob corresponding to the ordnance ; (e) left image of a stereo pair of the totally exposed ordnance; (f) range image from the stereo pair; (g) elevation map from th...

This paper formulates the Shape-from-Texture (SFT) problem of deriving the shape of an imaged surface from the distortion of its texture as a single-plane/multiple-view Structure-from-Motion (SFM) problem under full perspective projection. As in classical SFT formulations we approximate the surface as being piecewise planar. In contrast to many methods, our approach does not need a frontal view...

Texture mapping may give the impression of geometric details in a model using an image. But texture always was captured under special light condition. If the lighting in virtual environment is different from the texture image, the result of rendering will be incorrect and unrealistic. This paper proposes an image-based method that requires basic texture map and coefficient maps to interpolate l...

While visual texture classification is a widely-researched topic in image analysis, little is known on its counterpart i.e. the haptic (touch) texture. This paper examines the visual texture classification in order to investigate how well it could be used for haptic texture search engine. In classifying the visual textures, feature extraction for a given image involving wavelet decomposition is...

Texture segmentation is the process of partitioning an image into regions with different textures containing a similar group of pixels. Detecting the discontinuity of the filter's output and their statistical properties help in segmenting and classifying a given image with different texture regions. In this proposed paper, chili x-ray image texture segmentation is performed by using Gabor filte...

Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions. To achieve convincing replacement results we have to detect texture patterns and estimate lighting map from a given image. Near regular planar t...